Author of the publication

A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes

, , , and . Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Prager, Raphael Patrick
add a person with the name Prager, Raphael Patrick
 

Other publications of authors with the same name

Per-instance configuration of the modularized CMA-ES by means of classifier chains and exploratory landscape analysis, , , , and . 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2020)Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features, , , , , , , and . FOGA 2023, page 129--139. United States, Association for Computing Machinery, (Aug 30, 2023)Publisher Copyright: © 2023 ACM.; 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023, FOGA 2023 ; Conference date: 30-08-2023 Through 01-09-2023.HPO $$ ELA: Investigating hyperparameter optimization landscapes by means of exploratory landscape analysis, , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)Automated algorithm selection in single-objective continuous optimization: A comparative study of deep learning and landscape analysis methods, , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes, , , and . Proceedings of the Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (July 2022)Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization, , , and . (2024)Towards feature-free automated algorithm selection for single-objective continuous black-box optimization, , , and . 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, (December 2021)